Michal Dadlez

dblp:80/11376 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-8811-5176ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
hydrogen deuterium exchange mass spectrometry analysis
1.422026
HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry data · Bioinform. 2026
HaDeX: an R package and web-server for analysis of data from hydrogen-deuterium exchange mass spectrometry experiments · Bioinform. 2020
Bioinformatics and computational biology
proteomics
1.422026
HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry data · Bioinform. 2026
HaDeX: an R package and web-server for analysis of data from hydrogen-deuterium exchange mass spectrometry experiments · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

data visualization · 1.4statistical inference · 1.0statistical analysis · 0.4
YearPublicationVenuePosition
2026 HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry data
abstract
SUMMARY: Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS) monitors deuterium uptake at the peptide level, in a time-dependent manner. It produces complex, multi-dimensional data that must be interpreted at minimum both the temporal and sequence levels. Specialized tools are therefore essential to preprocess, integrate, and analyze HDX-MS data and translate it into meaningful biological insights. HaDeX2 provides statistical inferences and their visualizations across five dimensions of HDX-MS data: protein sequence, time, biological states, peptide charge and experimental replicates. AVAILABILITY AND IMPLEMENTATION: HaDeX2 is freely available as an R package (https://github.com/hadexversum/HaDeX2; https://doi.org/10.5281/zenodo.18543703) and web server (https://hadex2.mslab-ibb.pl/). To run the GUI locally, users should install a dedicated companion package (https://github.com/hadexversum/HaDeXGUI).
Weronika Puchala, Krystyna Grzesiak, Dominik Rafacz, Michal Kistowski, Jochem H. Smit, Julien Marcoux, Michal Dadlez, Michal Burdukiewicz
Bioinform.7
2020 HaDeX: an R package and web-server for analysis of data from hydrogen-deuterium exchange mass spectrometry experiments
abstract
MOTIVATION: Hydrogen-deuterium mass spectrometry (HDX-MS) is a rapidly developing technique for monitoring dynamics and interactions of proteins. The development of new devices has to be followed with new software suites addressing emerging standards in data analysis. RESULTS: We propose HaDeX, a novel tool for processing, analysis and visualization of HDX-MS experiments. HaDeX supports a reproducible analytical process, including data exploration, quality control and generation of publication-quality figures. AVAILABILITY AND IMPLEMENTATION: HaDeX is available primarily as a web-server (http://mslab-ibb.pl/shiny/HaDeX/), but its all functionalities are also accessible as the R package (https://CRAN.R-project.org/package=HaDeX) and standalone software (https://sourceforge.net/projects/HaDeX/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Weronika Puchala, Michal Burdukiewicz, Michal Kistowski, Katarzyna A. Dabrowska, Aleksandra E. Badaczewska-Dawid, Dominik Cysewski, Michal Dadlez, Yann Ponty
Bioinform.7